hf_baichuan2_13b_chat.py 824 Bytes
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from opencompass.models import HuggingFaceCausalLM

_meta_template = dict(
    round=[
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        dict(role='HUMAN', begin='<reserved_106>'),
        dict(role='BOT', begin='<reserved_107>', generate=True),
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    ],
)

models = [
    dict(
        type=HuggingFaceCausalLM,
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        abbr='baichuan2-13b-chat-hf',
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        path='baichuan-inc/Baichuan2-13B-Chat',
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        tokenizer_path='baichuan-inc/Baichuan2-13B-Chat',
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        tokenizer_kwargs=dict(
            padding_side='left',
            truncation_side='left',
            trust_remote_code=True,
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            use_fast=False,
        ),
        meta_template=_meta_template,
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        max_out_len=100,
        max_seq_len=2048,
        batch_size=8,
        model_kwargs=dict(device_map='auto', trust_remote_code=True),
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        run_cfg=dict(num_gpus=2, num_procs=1),
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    )
]